Efficiency of low versus high airline pressure in stunning cattle with a pneumatically powered penetrating captive bolt gun

The efficiency of stunning cattle was assessed in 443 animals (304 pure Zebu and 139 crossbred cattle), being mainly mature bulls and cows. Cattle were stunned using a Jarvis pneumatically powered penetrating captive bolt gun operating with low (160–175 psi, N = 82) and high (190 psi, N = 363) airline pressure, which was within the manufactures specifications. Signs of brain function and the position of the shots on the heads were recorded after stunning. Velocity of the captive bolt and its physical parameters were calculated. Cattle shot with low pressures showed more rhythmic respiration (27 vs. 8%, P < 0.001), less tongue protrusion (4 vs. 12%, P = 0.03) and less masseter relaxation (22 vs. 48%, P < 0.001). There was an increased frequency of shots in the ideal position when cattle were shot with the low compared to high airline pressures (15.3 vs. 3.1%). Bolt velocity and its physical parameters were significantly (P < 0.01) higher when using high pressure. Airline pressures below 190 psi are inappropriate when shooting adult Zebu beef cattle with pneumatically powered penetrating captive bolt guns

Complex networks : application for texture characterization and classification

This article describes a new method and approach of texture characterization. Using complex network representation of an image, classical and derived (hierarchical) measurements, we present how to have good performance in texture classification. Image is represented by a complex networks : one pixel as a node. Node degree and clustering coefficient, using with traditional and extended hierarchical measurements, are used to characterize "organization" of textures

Propriedades físicas e químicas do solo em áreas com sistemas produtivos e mata na região da Zona da Mata mineira.

Tendo em vista o potencial de produção e a extensão de área que ocupam os Latossolos, é de grande interesse estabelecer sistemas de manejo que não modifiquem o solo de forma a comprometer sua sustentabilidade. Nesse sentido, avaliaram-se as alterações em propriedades físicas e químicas de um Latossolo sob diferentes sistemas agrícolas na Zona da Mata mineira. Foram avaliadas áreas sob laranja, cana, pastagem e mata: as de laranja e pastagem têm mais de 20 anos de uso; a de cana é anterior (100 anos). A cana é remanescente de uso histórico por aproximadamente 120 anos. A amostragem foi realizada em trincheiras, nas profundidades de 0,0 a 0,2 e 0,2 a 0,4 m. Foram analisadas as características químicas: matéria orgânica do solo (MOS), pH em H2O, P disponível, Ca2+, Mg2+, K+, Al3+, H + Al, soma de bases (SB), CTC efetiva e total (t) e saturação por bases (V), e P-remanescente. As características físicas analisadas foram: textura, densidade de partículas, densidade do solo, porosidade total, curva de retenção de água, resistência do solo à penetração e estabilidade de agregados em água, bem como a relação capacidade de campo/porosidade total (CC/PT). Para análise dos dados, consideraram-se os usos agrícolas como tratamentos, em um delineamento inteiramente casualizado, na análise de variância de cada profundidade separadamente. Os sistemas agrícolas com laranjeira e canavial melhoraram a condição química do solo, aumentando os teores de nutrientes e diminuindo o Al3+ do complexo de troca, porém apresentaram redução dos teores de MOS e níveis intermediários de degradação física. O sistema com pastagem apresentou baixa fertilidade e caráter distrófico, redução acentuada do teor de MOS e degradação física mais avançada, evidenciada pelo aumento da densidade do solo e resistência à penetração, bem como redução da porosidade total e da estabilidade de agregados

What are the Best Hierarchical Descriptors for Complex Networks?

This work reviews several hierarchical measurements of the topology of complex networks and then applies feature selection concepts and methods in order to quantify the relative importance of each measurement with respect to the discrimination between four representative theoretical network models, namely Erd\"{o}s-R\'enyi, Barab\'asi-Albert, Watts-Strogatz as well as a geographical type of network. The obtained results confirmed that the four models can be well-separated by using a combination of measurements. In addition, the relative contribution of each considered feature for the overall discrimination of the models was quantified in terms of the respective weights in the canonical projection into two dimensions, with the traditional clustering coefficient, hierarchical clustering coefficient and neighborhood clustering coefficient resulting particularly effective. Interestingly, the average shortest path length and hierarchical node degrees contributed little for the separation of the four network models.Comment: 9 pages, 4 figure

A systematic comparison of supervised classifiers

Pattern recognition techniques have been employed in a myriad of industrial, medical, commercial and academic applications. To tackle such a diversity of data, many techniques have been devised. However, despite the long tradition of pattern recognition research, there is no technique that yields the best classification in all scenarios. Therefore, the consideration of as many as possible techniques presents itself as an fundamental practice in applications aiming at high accuracy. Typical works comparing methods either emphasize the performance of a given algorithm in validation tests or systematically compare various algorithms, assuming that the practical use of these methods is done by experts. In many occasions, however, researchers have to deal with their practical classification tasks without an in-depth knowledge about the underlying mechanisms behind parameters. Actually, the adequate choice of classifiers and parameters alike in such practical circumstances constitutes a long-standing problem and is the subject of the current paper. We carried out a study on the performance of nine well-known classifiers implemented by the Weka framework and compared the dependence of the accuracy with their configuration parameter configurations. The analysis of performance with default parameters revealed that the k-nearest neighbors method exceeds by a large margin the other methods when high dimensional datasets are considered. When other configuration of parameters were allowed, we found that it is possible to improve the quality of SVM in more than 20% even if parameters are set randomly. Taken together, the investigation conducted in this paper suggests that, apart from the SVM implementation, Weka's default configuration of parameters provides an performance close the one achieved with the optimal configuration

Caracterização hidroquímica do escoamento superficial em diferentes agroecossistemas no Nordeste Paraense.

PIBIC 2010

A proposal of an analytical conflict management model for the Chinese context

China’s culture is different from Western cultures, with various implications including conflict management styles. Many conflict management studies have been based in a set of models with the same or similar assumptions, namely two axis related with concern for self and concern for the other or for the relationship with the other, that produce four or five conflict management styles (e.g., Rahim 2002). However, those similar models do not reflect China’s culture. This study aims to create a model for conflict management styles structure definition that is adapted to Chinese culture.info:eu-repo/semantics/publishedVersio